Reconfigurable accelerator fabrics, including coarse-grain reconfigurable arrays (CGRAs),
have experienced a resurgence in interest because they allow fast-paced software algorithm …

In this article, we present an energy-efficient approximate CGRA (X-CGRA). Instead of
conventional exact arithmetic units, it employs configurable approximate adders and …

Coarse-Grained Reconfigurable Architectures (CGRAs) provide tradeoff between the energy-
efficiency of Application Specific Integrated Circuits (ASICs) and the flexibility of General …

In a biometrics scenario, gallery images are enrolled into the database ahead of the
matching step, which gives us the opportunity to build related data structures before the …

Stochastic Computing (SC) offers a promising computing paradigm for low-power and cost-
effective applications, with the added advantage of high error tolerance. In parallel, Coarse …

Today, coarse grained reconfigurable architectures (CGRAs) host multiple applications, with
arbitrary communication and computation patterns. Each application itself is composed of …

To employ a Convolutional Neural Network (CNN) in an energy-constrained embedded
system, it is critical for the CNN implementation to be highly energy efficient. Many recent …

In this paper, we present a novel synchoros VLSI design scheme that discretizes space
uniformly. Synchoros derives from the Greek word chóros for space. We propose raising the …

This paper describes the design and implementation of a coarse-grained reconfigurable
array (CGRA) for low-power biological signal processing. It uses an use-case-driven …

To effectively minimize static power for a wide range of applications, power domains for
coarse-grained reconfigurable array (CGRA) architectures need to be more fine-grained …